• Developing algorithms, models, and methods for robotic manipulation and/or loco-manipulation, for both industrial and household applications;
  • Integrating these methods into real-world robotic manipulation systems, including those consisting of collaborative robot arms, industrial robot arms, mobile manipulators, humanoids, and dexterous hands;
  • Contributing to multi-person research projects that require a diverse set of skills across the robotics and machine learning stack;
  • Engaging with the academic community through high-impact publications, conferences, workshops, and/or code releases.